experiment1
importedsoftware/experiment1
BreastGAN, first experiment.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- BreastGAN
- Country
- unknown
- Homepage
- arxiv.org/abs/1811.07767
- Repository
- github.com/BreastGAN/experiment1
- Documentation
- unknown
- Tags
- deep-learning · deep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- augmentationdeep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
Adversarial Augmentation for Enhancing Classification of Mammography Images
- experiment2deep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
BreastGAN, second experiment.
- PatchBased_3DCycleGAN_CT_Synthesisgan · generative-adversarial-network · generative-model
Patch-based 3D Cycle-GAN for volumetric medical image synthesis
- gan-skin-matlabdeep-neural-networks · gan · generative-adversarial-network
Example of how to use MATLAB to generate synthetic images of skin lesions.
- All-About-the-GANgan · generative-adversarial-network
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
- Atlas-GANgan · generative-adversarial-network
[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates
- api.github.com/repos/BreastGAN/experiment1retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-03-24, 7 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/25.json→ .entries["experiment1"]
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